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Field
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control applications? In this PhD project, you will develop methods for the analysis, verification, and design of neural-network-based controllers. Rather than treating safety and stability as properties
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working with AI/ML experts for optimization algorithm development and associated experts for integration into the experimental workflow. You will work with a team that possesses focused skill sets (subject
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the following conditions: 1. Scientific Area: Engineering 2. Admission Requirements: i) Student enrolled in a Doctoral Program in Electrical and Computer Engineering or related fields; ii) Suitability
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be given further consideration as candidates: Education Ph.D. in Electrical Engineering, Physics, Photonics, Optical Engineering, or a closely related field. As part of the RA Program you must have
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degree in Computer Science, Artificial Intelligence, Software Engineering, Robotics, or a related field Strong experience in software development and excellent programming skills, preferably in Python
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, environmental policy, socio-ecological systems, economics, computational social science, data science, or a closely related field. Strong interest in biodiversity, ecosystem resilience, sustainability policy, and
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. The PhD researcher will be formally embedded in the Department of Intelligent Systems (DIS) and will collaborate closely with the Department of Computational Cognitive Science (DCS). The project The SHIELD
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construction automation technology and robotics systems. Ability to design and program robotic and automated systems for modular, on-site, and hybrid construction. Knowledge of DfMA and its integration with
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3 Aug 2026 Job Information Organisation/Company Politehnica University of Timisoara Department Department of Automation and Applied Informatics Research Field Computer science » Systems design
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15 Jul 2026 Job Information Organisation/Company Graz University of Technology Department Institute of Information Security Research Field Computer science Researcher Profile First Stage Researcher